activity
20242026
most citedAchieving Observability on Fog Computing with the use of open-source tools

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

FacProcessTwin: An LLM-Based System for Process Twin Development

Yash Pulse, Yong-Bin Kang, Abhik Banerjee +1

Process twins provide real-time representations of entire production processes. By capturing how process steps interact, rather than monitoring a single machine in isolation as an…

cs.AI2026

FactoryLLM: A Safe and Open-Source AI Playground for Evaluating LLMs in Smart Factories

Yash Pulse, Yong-Bin Kang, Abhik Banerjee +2

Fault diagnostics and recovery in smart factories is challenging because critical information is dispersed across manuals of multiple machines which are interconnected through the…

cs.DB2025

DCMF: A Dynamic Context Monitoring and Caching Framework for Context Management Platforms

Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee +2

The rise of context-aware IoT applications has increased the demand for timely and accurate context information. Context is derived by aggregating and inferring from dynamic IoT da…

cs.DC2024★ 2 cited

Achieving Observability on Fog Computing with the use of open-source tools

Breno Costa, Abhik Banerjee, Prem Prakash Jayaraman +3

Fog computing can provide computational resources and low-latency communication at the network edge. But with it comes uncertainties that must be managed in order to guarantee Serv…

cs.DC2024

A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications

Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee +3

Internet of Things (IoT) has seen a prolific rise in recent times and provides the ability to solve several key challenges faced by our societies and environment. Data produced by…